Salesforce Product Manager – Agentforce, Data Cloud

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the product vision, roadmap, priorities, and backlog for Agentforce and Data Cloud/Data 360 functionalities.

• Oversee the intake process and assess use cases based on user requirements, business outcomes, data availability, risk, reuse potential, cost, and readiness for delivery.

• Convert priorities into product specifications, epics, features, user stories, acceptance criteria, agent evaluation criteria, data requirements, and release plans.

• Specify Data Cloud/Data 360 requirements, including source systems, data streams and connectors, zero-copy access, data-model mapping, identity resolution, calculated insights, segments and activations, unstructured content, permissions, consent, data quality, and governance.

• Outline Agentforce requirements covering topics, instructions, actions, grounding and retrieval, Flow and API integrations, access controls, guardrails, human handoff, and monitoring.

• Rank tasks based on business value, data readiness, governance risk, technical dependencies, enterprise reuse, and delivery capacity.

• Collaborate with business, architecture, data, engineering, security, privacy, legal, operations, and adoption teams to address dependencies and schedule releases.

• Spearhead prototype, pilot, testing, and launch-readiness initiatives.

• Establish criteria for evaluating groundedness, task completion, reliability, access control, escalation, user experience, and business impact.

• Leverage production feedback and metrics to enhance agent behavior, data quality, adoption, cost efficiency, and reusable platform patterns.

• Document decisions, assumptions, risks, and traceability from business outcomes through data context, agent behavior, releases, and measured results.

⛳️ Requirements

• At least 5 years of product management or product ownership experience in enterprise software, CRM, data platforms, AI-enabled products, automation, or SaaS.

• Proven product management experience with both Salesforce Agentforce and Salesforce Data Cloud/Data 360, including guiding capabilities through pilot or production rollout.

• Capability to articulate personal product decisions, data and agent design, quality measures, adoption strategies, and business outcomes.

• Hands-on knowledge of Data Cloud/Data 360, such as data ingestion or zero-copy access, data streams, Data Lake Objects and Data Model Objects, identity resolution, calculated insights, segmentation and activation, data quality, permissions, and governance.

• Practical understanding of Agentforce, including topics, instructions, actions, grounding or retrieval, Flow or API integrations, access controls, testing and evaluation, guardrails, human escalation, and monitoring.

• Ability to manage product strategy, roadmap, backlog, and release plan.

• Proficiency in writing product requirements, user stories, acceptance criteria, and measurable success metrics.

• Strong familiarity with the Salesforce platform, encompassing Salesforce applications, Flow, platform security and permissions, metadata, APIs, integrations, and enterprise data.

• Experience in coordinating decisions among business, architecture, data, engineering, security, privacy, legal, and operational stakeholders.

• Excellent judgment and communication skills, including the ability to challenge low-value or poorly formulated use cases and clarify technical trade-offs.

• Salesforce Certified Agentforce Specialist and Salesforce Certified Data 360 Consultant are preferred.

• Additional Salesforce certifications preferred, including Platform Administrator, Business Analyst, Platform App Builder, Sales Cloud Consultant, or Service Cloud Consultant.

• Experience with Salesforce Flow, MuleSoft, or other API and integration patterns, Tableau or CRM Analytics, and enterprise data platforms like Snowflake, Databricks, AWS, or Google Cloud is preferred.

• Familiarity with defining AI-agent evaluation, responsible-AI controls, prompt or grounding strategies, observability, incident response, and human-in-the-loop operating models is preferred.

• Experience in a Salesforce Center of Excellence, enterprise platform product team, or customer-facing consulting environment is preferred.

• Proven track record in fostering adoption and driving operational model changes for CRM, data, automation, or AI capabilities is preferred.

• Availability during core U.S. business hours.

🏝️ Benefits

• 100% remote work.

• Full-time W2 employment.

• 40 hours/week with availability during core U.S. business hours.